Oct 292018

Research Data Assistant/Analyst

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Position:               Research Data Assistant/Analyst

Job Type:              Temporary

Location:              Calgary, Alberta

Salary Range:      $60,000 – $65,000

Website:               http://www.albertahipandknee.ca/ and  http://www.albertaboneandjoint.com

Posted:                  October 29, 2018

Contact:                info@albertahipandknee.ca

This position will support collaboration between the Alberta Hip and Knee Clinic and the Alberta Bone and Joint Health Institute. This position will be hired on a one-year term, with possibility for extension.

There are two main purposes for this position:

  1. – Research support for the Alberta Hip & Knee Clinic (Calgary): Assist in the design, execution and evaluation of research studies
  2. – Data analysis support for the Alberta Hip & Knee Clinic (Calgary): Assist in the development, maintenance, administration and presentation of clinic and research data

Under the direction of the Executive Director, the incumbent will work collaboratively with a research manager, clinical staff and Surgeons to support clinic research and quality improvement efforts.

Key Responsibilities

Research Design and Study Execution

  1. – Assist in the preparation of grant applications
  2. – Assist in the preparation of ethics applications
  3. – Assist in the development of data collection tools and workflows
  4. – Assist in patient recruitment and data collection

Data and Quality Analysis

  1. – Quality improvement monitoring
  2. – Analysis for specific projects and/or research studies
  3. – Visualizing data and analyses for consumption by stakeholders of varied backgrounds (clinical, operational, research, lay person)
  4. – Contributes to the design of protocols defining what and when data are to be collected
  5. – Assists in clinic database maintenance and administration, including ensuring validity of the clinic’s data bases
  6. – Other analytic and reporting assignments are required

Education

  1. – Minimum: Post-secondary degree in Mathematics, Statistics, Data Analytics, Computer Science or related technical Fields.
  2. – Preferred: Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science or related technical Fields.

Technical Skills & Specialized Knowledge

  1. – Experience with large data sets
  2. – Knowledge to use SPSS or equivalent statistical software
  3. – Ability to write SQL queries to extract, review and understand data
  4. – Experience with reporting, data management, data analytics and visualization using market leading commercial and open source tools (e.g. Power BI, Tableau)
  5. – Familiarity using various basic and advanced analytical methods such as modeling and simulation, linear and logistic regression and ANOVA analysis
  6. – Intermediate level of familiarity with MS Excel
  7. – Familiarity with research design and methodology

 

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